17 parallel-processing-bioinformatics-"the" Fellowship positions at University of Adelaide in Australia
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closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking
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agriculture with appropriate industry experience Demonstrated research excellence in plant physiology, plant molecular biology, phylogeny, molecular evolution, bioinformatics, multi-omics, and programming
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members Commitment to the principles of equity, diversity and inclusion. Desirable characteristics: Understanding of bioinformatics. Experience with HPAEC-PAD and HPLC systems. The path to Adelaide
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research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Your faculty's broader role The Faculty
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Enjoy an outstanding career
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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Chemistry or related Discipline or have equivalent qualifications or research experience. Demonstrated experience in analytical method development and operation of advanced analytical equipment (e.g. LCMS, GC
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in